Senior Machine Learning Software Engineer

Job not on LinkedIn

🔥 1 hour ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $121.4k - $218.6k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Akamai Technologies

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🔒 Cybersecurity

💰 Post-IPO Equity on 2001-07

Cloud Computing • Cybersecurity • Content Delivery

Akamai Technologies is a leading cloud services provider that specializes in delivering security, cloud computing, and content delivery solutions. It offers a range of services such as API security, DDoS protection, and performance optimization for web applications, ensuring secure and reliable user experiences. With a robust global infrastructure, Akamai empowers businesses to streamline their digital presence while safeguarding against various cyber threats and enhancing application performance.

📋 Description

• Develop and maintain model validation and security scanning pipelines assessing models for quality, correctness, and vulnerabilities before deployment • Implement quantization, pruning, and other optimization techniques to reduce model footprint and improve inference latency across diverse hardware configurations • Build guardrail and content safety systems enforcing compliance policies and mitigating jailbreaking and prompt injection risks • Design model routing and prompt management infrastructure for intelligent request handling across model variants • Contribute to model evaluation frameworks measuring accuracy, performance, and safety metrics across the model lifecycle • Build and operate systems responsible for model validation, quantization, and safety across the Akamai Inference Cloud

🎯 Requirements

• 5 years of relevant experience • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field • Hands-on experience with PyTorch, TensorFlow, or JAX, including model training, fine-tuning, and inference optimization • Proficiency in GPTQ, AWQ, and GGUF model quantization techniques • Understanding of how model compression impacts accuracy and latency • Experience with large language models, transformer architectures, and multi-modal AI systems • Familiarity with model safety and responsible AI practices, including content filtering, red-teaming, or adversarial robustness evaluation • Proficiency in Python and experience building production data or ML pipelines • Experience with containerized deployments, CI/CD practices, and cloud infrastructure is suggested but not required

🏖️ Benefits

• Flexible work from home, office, or both • Healthcare • 401K savings plan • Company holidays • Vacation in the form of PTO • Sick time • Parental leave • Employee assistance program • Mental wellness support • Financial wellness support • Annual bonus or incentives • Equity awards • Employee Stock Purchase Plan (ESPP) • Opportunities to grow, flourish, and achieve great things